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Keras Object Detection API with YOLK project ๐Ÿณ

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- [x] Explain Obeject Detection concept - [ ] Explain Obeject Detection Model([Faster R-CNN](https://arxiv.org/pdf/1506.01497.pdf)) โžก๏ธ DateSet([Deepfashion2](https://arxiv.org/pdf/1901.07973.pdf)) - [ ] Coding Tutorial Code โžก๏ธ Explain Code

preprocessing

The error messages : ``` serWarning: File /home/yolk/VOCdevkit/yolk_voc_train_val2012_tar is downloaded but the content hash does not match. The repo may be outdated or download may be incomplete. If the "repo_url"...

bug

Make argument parser that can be used for various backbone model including RetinaNet, YOLO, and SSD.

preprocessing

- [ ] Create and add yolo annotation files - COCO / VOC Dataset - [ ] Replace train.txt to each annotation file names according to dataset type

preprocessing
dataset

Create custom shapes dataset - Checklist - [x] Shape datasets Modularization - [x] make bounding box - [ ] data generator(dataloader) - Reference + [matterport's Mask-RCNN shapes dataset](https://github.com/matterport/Mask_RCNN/blob/master/mrcnn/model.py)

preprocessing
dataset

Make a higher API for wrapping * Select model type(SSD, RetinaNet, YOLOv3) * Select DataLoader

modeling

# Add SSD model on dev branch Github repo: [ssd_keras](https://github.com/pierluigiferrari/ssd_keras) by @pierluigiferrari

modeling

https://github.com/fizyr/keras-retinanet

modeling

mean์„ ๋นผ๊ณ  std๋กœ ๋‚˜๋ˆ„๋Š” ๋“ฑ ์ „์ฒ˜๋ฆฌ ์—ฐ์‚ฐ์„ ๋ชจ๋ธ ๋ ˆ๋ฒจ์—์„œ ์ฒ˜๋ฆฌํ•˜๋ฉด ์ข‹์„ ๊ฒƒ ๊ฐ™์€๋ฐ.. see also https://stackoverflow.com/questions/44835223/adding-a-preprocessing-layer-to-keras-model-and-setting-tensor-values

modeling
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